Director and Senior Data Scientist/Data Journalist

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Director and Senior Data Scientist/Data Journalist Data Science for Homelessness Data: QlikView, Tableau, & TIBCO Spotfire Dr. Brand Niemann Director and Senior Data Scientist/Data Journalist Semantic Community http://semanticommunity.info/ http://www.meetup.com/Virginia-Big-Data-Meetup/ http://www.meetup.com/Federal-Big-Data-Working-Group/ http://www.meetup.com/Northern-Virginia-Semantic-Web-Meetup/ http://semanticommunity.info/Data_Science/Federal_Big_Data_Working_Group_Meetup June 1, 2015

GartnerBI analyst JoshParenteau: BI MagicQ: "buyers are buying ease-of-use: Tableau, QlikView & TIBCO Spotfire are easy to use" https://twitter.com/moc_tib

Averages Hide Information: Analysis of the US Homeless Population 29 March 2015 by Michael O'Connell: http://www.tibco.com/blog/?p=15773

Homelessness Data Sources UK Government Homelessness Statistics: Statutory homelessness Homelessness prevention and relief Rough sleeping Live tables Homeless Analytics Initiative: Dashboard Homelessness Analytics Initiative Methodology Fairfax Virginia County: Data from the Community Partnership to Prevent and End Homelessness Highlights from the 2014 Point-in-Time Count of People Experiencing Homelessness

UK Government Homelessness Statistics: Statutory Homelessness https://www.gov.uk/government/statistics/statutory-homelessness-in-england-october-to-december-2014

Homeless Analytics Initiative: Dashboard http://homelessnessanalytics.org/map/

Homelessness Analytics Initiative Methodology: Data.HUD.gov http://data.hud.gov/

Homelessness Analytics Initiative Methodology: Data.HUD.gov Data Sets Google Chrome Find: Homeless Found Spreadsheet and Shape Files http://data.hud.gov/data_sets.html

Highlights from the 2014 Point-in-Time Count of People Experiencing Homelessness in Fairfax Virginia County My Note: See Data Tables Below http://www.fairfaxcounty.gov/homeless/point-in-time/pit-2014.htm

Data Science for Homeless Data: MindTouch Knowledge Base My Note: Use Google Chrome Find Data Science for Homeless Data

Data Science for Homeless Data: Excel Knowledge Base http://semanticommunity.info/%40api/deki/files/33160/HomelessnessData.xls?origin=mt-web

Data Science for Homeless Data: Spotfire Cover Page Web Player

Data Science for Homeless Data: Spotfire United Kingdom Homelessness Web Player

Data Science for Homeless Data: Spotfire Homelessness Analytics Initiative Web Player

Data Science for Homeless Data: Spotfire Fairfax Virginia County Web Player

Some Conclusions and Recommendations The Gartner Business Intelligence & Analytics Summit, March 29, 2015, in Las Vegas, NV, featured a BI Bake Off: Visual Data Discovery with Qlik, SAS, Tableau and TIBCO. Michael O’Connell, Chief Data Scientist, TIBCO Software, has provided his results, but the data set is proprietary. The author has provided an open data set for a Bakeoff at the June 1st Federal Big Data Working Group Meetup. The data set is documented in a knowledge base and the results for UK, US HUD-VA HAI, and Fairfax Virginia County are shown in a TIBCO Spotfire file. Homeless data analytics and visualizations can inform decision makers and the public about the statistics and geographic “hot spots” of this serious social problem. http://blogs.gartner.com/cindi-howson/2015/03/11/bi-bake-comes-gartner/